Jacob Eisenstein
Research Scientist at Google
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJacob Eisenstein is a research scientist at Google in Seattle with 14 years of experience specializing in natural language processing. He was tenured faculty at Georgia Tech after earning a PhD in Computer Science from MIT, and spent a year as a visiting scientist at Facebook. His work bridges academic rigor and industry impact, applying foundational NLP research to practical problems at scale. He also contributes to open-source educational NLP materials for Georgia Tech, adding sentiment lexicons, a basic classifier, and evaluation tooling that reflect an emphasis on reproducible measurement. He maintains a selective online presence, preferring deep research and engineering over frequent social updates.
14 years of coding experience
7 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at Massachusetts Institute of Technology
Github Skills (5)
sentiment-analysis10
nlp10
python10
data-analysis10
classification9
Programming languages (3)
Github contributions (5)
jacobeisenstein/gt-nlp-class
Feb 2013 - Mar 2022
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
Role in this project:
Data Scientist
Data ScientistContributions:5 releases, 1 review, 629 commits in 9 years 2 months
Contributions summary:Jacob's contributions focused on enhancing the project's sentiment analysis capabilities. Their commit introduced a sentiment vocabulary file (`sentiment-vocab.tff`) and implemented a basic sentiment classifier using this lexicon, demonstrating an understanding of sentiment analysis techniques. The user also enhanced the project by adding scorer and confusion matrix implementations to evaluate the classification performance, showing focus on result analysis.
nlpgeorgiamachine-learninggeorgia-technatural-language
jacobeisenstein/bayes-seg
Aug 2013 - Sep 2015
Contributions:1 release, 7 commits, 2 pushes in 2 years 1 month
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